Ai Approaches To Smart And Sustainable Power Systems

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AI Approaches to Smart and Sustainable Power Systems

L Ashok Kumar,S Angalaeswari,K Mohana Sundaram
AI Approaches to Smart and Sustainable Power Systems Book PDF

Author : L Ashok Kumar,S Angalaeswari,K Mohana Sundaram
Publisher : Unknown
Page : 0 pages
File Size : 44,7 Mb
Release : 2024-03-25
Category : Computers
ISBN : 9798369344729

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AI Approaches to Smart and Sustainable Power Systems by L Ashok Kumar,S Angalaeswari,K Mohana Sundaram Pdf

Today, the global power demand relies on a delicate balance between conventional and renewable energy systems, necessitating both efficient power generation and the effective utilization of these energy resources through appropriate energy storage solutions. Integrating microgrid systems into the utility grid has become a critical facet of modern power systems. The intermittent and unpredictable nature of these energy sources poses a formidable challenge for academic scholars and researchers. This compels them to explore under-investigated areas, including energy source estimation, storage elements, load pattern prediction, coordination among distributed sources, and the development of energy management algorithms for precise and efficient control. AI Approaches to Smart and Sustainable Power Systems tackles these issues using cutting-edge AI techniques. It examines the most effective methods to optimize voltage, frequency, power, fault diagnosis, component health, and overall power system quality and reliability. AI empowers predictive and preventive maintenance for a sustainable energy future. The book focuses on emerging research areas, including renewable energy, power flow calculations, demand scheduling, real-time performance validation, and AI integration into modern power systems, accompanied by insightful case studies.

Introduction to AI Techniques for Renewable Energy System

Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
Introduction to AI Techniques for Renewable Energy System Book PDF

Author : Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban
Publisher : CRC Press
Page : 423 pages
File Size : 55,7 Mb
Release : 2021-11-25
Category : Technology & Engineering
ISBN : 9781000392456

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Introduction to AI Techniques for Renewable Energy System by Suman Lata Tripathi,Mithilesh Kumar Dubey,Vinay Rishiwal,Sanjeevikumar Padmanaban Pdf

Introduction to AI techniques for Renewable Energy System Artificial Intelligence (AI) techniques play an essential role in modeling, analysis, and prediction of the performance and control of renewable energy. The algorithms used to model, control, or predict performances of the energy systems are complicated, involving differential equations, enormous computing power, and time requirements. Instead of complex rules and mathematical routines, AI techniques can learn critical information patterns within a multidimensional information domain. Design, control, and operation of renewable energy systems require a long-term series of meteorological data such as solar radiation, temperature, or wind data. Such long-term measurements are often non-existent for most of the interest locations or, wherever they are available, they suffer from several shortcomings, like inferior quality of data, and in-sufficient long series. The book focuses on AI techniques to overcome these problems. It summarizes commonly used AI methodologies in renewal energy, with a particular emphasis on neural networks, fuzzy logic, and genetic algorithms. It outlines selected AI applications for renewable energy. In particular, it discusses methods using the AI approach for prediction and modeling of solar radiation, seizing, performances, and controls of the solar photovoltaic (PV) systems. Features Focuses on a significant area of concern to develop a foundation for the implementation of renewable energy system with intelligent techniques Showcases how researchers working on renewable energy systems can correlate their work with intelligent and machine learning approaches Highlights international standards for intelligent renewable energy systems design, reliability, and maintenance Provides insights on solar cell, biofuels, wind, and other renewable energy systems design and characterization, including the equipment for smart energy systems This book, which includes real-life examples, is aimed at undergraduate and graduate students and academicians studying AI techniques used in renewal energy systems.

AI Approaches to Smart and Sustainable Power Systems

Ashok Kumar, L.,Angalaeswari, S.,Mohana Sundaram, K.,Bansal, Ramesh C.,Patil, Arunkumar
AI Approaches to Smart and Sustainable Power Systems Book PDF

Author : Ashok Kumar, L.,Angalaeswari, S.,Mohana Sundaram, K.,Bansal, Ramesh C.,Patil, Arunkumar
Publisher : IGI Global
Page : 455 pages
File Size : 50,6 Mb
Release : 2024-03-25
Category : Technology & Engineering
ISBN : 9798369315873

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AI Approaches to Smart and Sustainable Power Systems by Ashok Kumar, L.,Angalaeswari, S.,Mohana Sundaram, K.,Bansal, Ramesh C.,Patil, Arunkumar Pdf

Today, the global power demand relies on a delicate balance between conventional and renewable energy systems, necessitating both efficient power generation and the effective utilization of these energy resources through appropriate energy storage solutions. Integrating microgrid systems into the utility grid has become a critical facet of modern power systems. The intermittent and unpredictable nature of these energy sources poses a formidable challenge for academic scholars and researchers. This compels them to explore under-investigated areas, including energy source estimation, storage elements, load pattern prediction, coordination among distributed sources, and the development of energy management algorithms for precise and efficient control. AI Approaches to Smart and Sustainable Power Systems tackles these issues using cutting-edge AI techniques. It examines the most effective methods to optimize voltage, frequency, power, fault diagnosis, component health, and overall power system quality and reliability. AI empowers predictive and preventive maintenance for a sustainable energy future. The book focuses on emerging research areas, including renewable energy, power flow calculations, demand scheduling, real-time performance validation, and AI integration into modern power systems, accompanied by insightful case studies.

Decision Making Using AI in Energy and Sustainability

Gülgün Kayakutlu,M. Özgür Kayalica
Decision Making Using AI in Energy and Sustainability Book PDF

Author : Gülgün Kayakutlu,M. Özgür Kayalica
Publisher : Springer Nature
Page : 307 pages
File Size : 46,8 Mb
Release : 2023-10-16
Category : Business & Economics
ISBN : 9783031383878

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Decision Making Using AI in Energy and Sustainability by Gülgün Kayakutlu,M. Özgür Kayalica Pdf

Artificial intelligence (AI) has a huge impact on science and technology, including energy, where access to resources has been a source of geopolitical conflicts. AI can predict the demand and supply of renewable energy, optimize efficiency in energy systems, and improve the management of natural energy resources, among other things. This book explores the use of AI tools for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation, and smart houses. Featuring research from International Federation for Information Processing's (IFIP) “AI in Energy and Sustainability” working group, this book provides new models and algorithms for AI applications in energy and sustainability fields. Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. The contents of this book are valuable for energy researchers, academics, scholars, practitioners and policy makers.

AI and IOT in Renewable Energy

Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh
AI and IOT in Renewable Energy Book PDF

Author : Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh
Publisher : Springer Nature
Page : 109 pages
File Size : 52,9 Mb
Release : 2021-05-12
Category : Technology & Engineering
ISBN : 9789811610110

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AI and IOT in Renewable Energy by Rabindra Nath Shaw,Nishad Mendis,Saad Mekhilef,Ankush Ghosh Pdf

This book presents the latest research on applications of artificial intelligence and the Internet of Things in renewable energy systems. Advanced renewable energy systems must necessarily involve the latest technology like artificial intelligence and Internet of Things to develop low cost, smart and efficient solutions. Intelligence allows the system to optimize the power, thereby making it a power efficient system; whereas, Internet of Things makes the system independent of wire and flexibility in operation. As a result, intelligent and IOT paradigms are finding increasing applications in the study of renewable energy systems. This book presents advanced applications of artificial intelligence and the internet of things in renewable energy systems development. It covers such topics as solar energy systems, electric vehicles etc. In all these areas applications of artificial intelligence methods such as artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above, called hybrid systems, are included. The book is intended for a wide audience ranging from the undergraduate level up to the research academic and industrial communities engaged in the study and performance prediction of renewable energy systems.

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

Miltiadis D. Lytras,Kwok Tai Chui
Artificial Intelligence for Smart and Sustainable Energy Systems and Applications Book PDF

Author : Miltiadis D. Lytras,Kwok Tai Chui
Publisher : MDPI
Page : 258 pages
File Size : 55,7 Mb
Release : 2020-05-27
Category : Technology & Engineering
ISBN : 9783039288892

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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications by Miltiadis D. Lytras,Kwok Tai Chui Pdf

Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.

IoT and Analytics in Renewable Energy Systems (Volume 1)

O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban
IoT and Analytics in Renewable Energy Systems Volume 1 Book PDF

Author : O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban
Publisher : CRC Press
Page : 471 pages
File Size : 53,9 Mb
Release : 2023-08-11
Category : Computers
ISBN : 9781000909791

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IoT and Analytics in Renewable Energy Systems (Volume 1) by O.V. Gnana Swathika,K. Karthikeyan,Sanjeevikumar Padmanaban Pdf

Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

Miltiadis Lytras,Kwok Tai Chui
Artificial Intelligence for Smart and Sustainable Energy Systems and Applications Book PDF

Author : Miltiadis Lytras,Kwok Tai Chui
Publisher : Unknown
Page : 258 pages
File Size : 42,6 Mb
Release : 2020
Category : Engineering (General). Civil engineering (General)
ISBN : 3039288903

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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications by Miltiadis Lytras,Kwok Tai Chui Pdf

Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists--namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.

Intelligent Learning Approaches for Renewable and Sustainable Energy

Josep M. Guerrero,Pankaj Gupta,Ritu Kandari,Alexander Micallef
Intelligent Learning Approaches for Renewable and Sustainable Energy Book PDF

Author : Josep M. Guerrero,Pankaj Gupta,Ritu Kandari,Alexander Micallef
Publisher : Elsevier
Page : 315 pages
File Size : 55,5 Mb
Release : 2024-02-21
Category : Computers
ISBN : 9780443158070

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Intelligent Learning Approaches for Renewable and Sustainable Energy by Josep M. Guerrero,Pankaj Gupta,Ritu Kandari,Alexander Micallef Pdf

Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy.The book begins by introducing the intelligent learning approaches, and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. The second section of the book provides detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, and optimization, supported by case studies, figures, schematics, and references.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence. Explores cutting-edge intelligent techniques and their implications for future energy systems development Opens the door to a range of applications across forecasting, supply and demand, energy management, optimization, and more Includes a range of case studies that provide insights into the challenges and solutions in real-world applications

Intelligent Renewable Energy Systems

Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Intelligent Renewable Energy Systems Book PDF

Author : Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen
Publisher : John Wiley & Sons
Page : 484 pages
File Size : 48,5 Mb
Release : 2022-01-19
Category : Computers
ISBN : 9781119786276

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Intelligent Renewable Energy Systems by Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen Pdf

INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi
Applications of Big Data and Artificial Intelligence in Smart Energy Systems Book PDF

Author : Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi
Publisher : CRC Press
Page : 250 pages
File Size : 54,5 Mb
Release : 2023-11-23
Category : Computers
ISBN : 9781000963977

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Applications of Big Data and Artificial Intelligence in Smart Energy Systems by Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi Pdf

In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, and domestic & industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution automation, energy regulation and control, and energy trading. This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in depth in the context of the modern power systems. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models.

AI-Powered IoT in the Energy Industry

S. Vijayalakshmi,Savita .,Balamurugan Balusamy,Rajesh Kumar Dhanaraj
AI Powered IoT in the Energy Industry Book PDF

Author : S. Vijayalakshmi,Savita .,Balamurugan Balusamy,Rajesh Kumar Dhanaraj
Publisher : Springer Nature
Page : 318 pages
File Size : 51,5 Mb
Release : 2023-04-05
Category : Technology & Engineering
ISBN : 9783031150449

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AI-Powered IoT in the Energy Industry by S. Vijayalakshmi,Savita .,Balamurugan Balusamy,Rajesh Kumar Dhanaraj Pdf

AI-Powered IoT in the Energy Industry: Digital Technology and Sustainable Energy Systems looks at opportunities to employ cutting-edge applications of artificial intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) in designing and modeling energy and renewable energy systems. The book's main objectives are to demonstrate how big data can help with energy efficiency and demand reduction, increase the usage of renewable energy sources, and assist in transitioning from a centralized system to a distributed, efficient, and embedded energy system. Contributions cover the fundamentals of the renewable energy sector, including solar, wind, biomass, and hydrogen, as well as building services and power generation systems. Chapters also examine renewable energy property prediction methods and discuss AI and IoT prediction models for biomass thermal properties. ​Covers renewable energy sector fundamentals; Explains the application of big data in distributed energy domains; Discusses AI and IoT prediction methods and models.

Artificial Intelligence-based Smart Power Systems

Sanjeevikumar Padmanaban,Sivaraman Palanisamy,Sharmeela Chenniappan,Jens Bo Holm-Nielsen
Artificial Intelligence based Smart Power Systems Book PDF

Author : Sanjeevikumar Padmanaban,Sivaraman Palanisamy,Sharmeela Chenniappan,Jens Bo Holm-Nielsen
Publisher : John Wiley & Sons
Page : 404 pages
File Size : 40,5 Mb
Release : 2022-12-20
Category : Science
ISBN : 9781119893967

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Artificial Intelligence-based Smart Power Systems by Sanjeevikumar Padmanaban,Sivaraman Palanisamy,Sharmeela Chenniappan,Jens Bo Holm-Nielsen Pdf

Authoritative resource describing the artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution, covering many new topics such as distribution Phasor management, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the highly qualified editors include many learning resources throughout the text, including MATLAB and HIL codes, end-of-chapter problems, end-of-book solutions, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HDVC/FACTs Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations Power and energy management systems for microgrids Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.

Applications of AI and IOT in Renewable Energy

Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas
Applications of AI and IOT in Renewable Energy Book PDF

Author : Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas
Publisher : Academic Press
Page : 248 pages
File Size : 55,7 Mb
Release : 2022-02-09
Category : Science
ISBN : 9780323984010

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Applications of AI and IOT in Renewable Energy by Rabindra Nath Shaw,Ankush Ghosh,Saad Mekhilef,Valentina Emilia Balas Pdf

Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. Includes future applications of AI and IOT in renewable energy Based on case studies to give each chapter real-life context Provides advances in renewable energy using AI and IOT with technical detail and data

Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things

Arpit Jain,Abhinav Sharma,Vibhu Jately,Brian Azzopardi
Sustainable Energy Solutions with Artificial Intelligence Blockchain Technology and Internet of Things Book PDF

Author : Arpit Jain,Abhinav Sharma,Vibhu Jately,Brian Azzopardi
Publisher : CRC Press
Page : 160 pages
File Size : 40,7 Mb
Release : 2023-09-01
Category : Computers
ISBN : 9781000934007

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Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things by Arpit Jain,Abhinav Sharma,Vibhu Jately,Brian Azzopardi Pdf

The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy. Focuses on the integration of smart technology including artificial intelligence and sustainable energy Covers recent advancements in energy management techniques used in residential and commercial energy systems Highlights the use of artificial intelligence, machine learning, and their applications in sustainable energy Discusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosis Presents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energy The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.